학습 데이터 분석을 통한 온라인 학습자의 학습활동 양상 탐색 = Exploring how Open Secondary High Schol students are learning through analysis of learning data

다국어 초록 (Multilingual Abstract)

In this study, we analyzed the learning data of the Open Secondary High School LMS(Learning Management System) in order to search the student 's learning pattern and to derive direction and task for the customized education. We selected the students of Open Secondary High School who had participated in the subject of Social Studies for the first semester of 2018. Among the approximately 100,900 log data on the system, the IDs which have all the learner basic data, learning activity data, and operation data are classified and the 961,620 log data of 3,098 users was used for the final analysis. First, regardless of age and gender, there was an even distribution at all times except for early morning(0~6). Second, the rate of access by PC was higher than that of access by mobile in most age groups. However, if the access time and the access device were examined at the same time, the access rate of mobile was high in all age groups at early morning time(0~6). Third, the average progress rate of all students was 75.2%, while that of adults was far higher than 78.0% and that of teenagers was just 56.1%. Fourth, learners with an average progress rate of 70% or more are defined as the learners who have completed the course, and compared with the rate of completion by age, it was found that the rate of completion by adults is significantly higher than that of teenagers. Finally, among the learners who have completed the course, the learners whose progress rate of all the episode has reached more than 70% are defined as the learners who have faithfully completed the course, and compared with the rate of sincere completion by age, it was found that the rate of adults is higher than that of teenagers. Based on the above results, we presented suggestions for customized education for the Open Secondary High School learners, including provision of learning support services considering learners’ age characteristics, enhancement of learning support service through mobile, and guidance of learning method considering main learning time.

참고문헌 (Reference)

1 나일주, "학습분석 모델 및 확장 방안 연구" 서울특별시교육청 2015